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#Paper Reading# TabNet: Attentive Interpretable Tabular Learning
時間 2021-01-12
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論文題目: TabNet: Attentive Interpretable Tabular Learning 論文地址: https://arxiv.org/abs/1908.07442 論文發表於: arXiv 2019 論文大體內容: 本文主要提出了TabNet模型,能夠高效地在tabular數據上完成分類/迴歸的任務,且具可解釋性。本文提出的模型是用DNN的方式獲得樹模型的可解釋性,且超越樹
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